SSDD

SSDD是国内外第一个专用于SAR图像中船舶目标检测的公开数据集。它可用于训练和测试检测算法，使研究人员可以在相同条件下比较算法性能。SSDD数据集共有1160张图像和2456艘船，平均每张图像有2.12艘船，并且该数据集将在未来继续扩展。

SSDD is the first publicly available dataset specifically dedicated to ship target detection in synthetic aperture radar (SAR) images both domestically and internationally. It serves as a standard platform for training and testing detection algorithms, enabling researchers to fairly compare algorithm performance under identical experimental conditions. The SSDD dataset contains a total of 1,160 images and 2,456 ship targets, with an average of 2.12 ships per image. Moreover, this dataset will continue to be expanded in the future.

AI搜集汇总

背景与挑战

背景概述

SSDD是首个专用于SAR图像船舶目标检测的公开数据集，包含1160张图像和2456艘船，平均每张图像有2.12艘船，旨在支持检测算法的训练和性能比较，并由中国电子科技大学和中国人民解放军海军航空大学于2021年发布。